Sample integrity
Protect identity, orientation, environment, contamination state and custody.
Real-work map · 11
Evaluate controlled handling, measurement and sample workflows through traceability, contamination control and bounded human access.
FUURAA thesis
Engineering map
Each layer states the boundary to establish and the evidence needed for the next decision.
Protect identity, orientation, environment, contamination state and custody.
Separate robot repeatability from instrument uncertainty, calibration and method validity.
Define replenishment, review, retest, clean-up and recovery without breaking controls.
Verification questions
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
Can every result be traced to sample, method and configuration?
What happens after a dropped, spilled or ambiguous sample?
Which environmental limits affect validity?
How are retests and manual overrides recorded?
Evidence to preserve
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
Sample and data lineage records
Measurement-system validation and calibration
Exception, retest and manual-intervention log
Scope boundary
Robot repeatability does not establish analytical validity, sterility or regulatory acceptance.
This is an engineering reading and decision framework; it does not replace application-specific risk assessment, conformity work, procurement acceptance or professional advice.
Sources and evidence status
Source dates and review status remain visible; external sources open in a new tab.
Addresses integration, commissioning, operation, maintenance and decommissioning of complete industrial robot applications and cells.
Frames robot adoption around worker safety, health and well-being, including people who use, wear or work near robots.